{"id":"https://openalex.org/W2065897760","doi":"https://doi.org/10.1145/1517303.1517321","title":"A novel discrete particle swarm clustering algorithm for data clustering","display_name":"A novel discrete particle swarm clustering algorithm for data clustering","publication_year":2009,"publication_date":"2009-01-09","ids":{"openalex":"https://openalex.org/W2065897760","doi":"https://doi.org/10.1145/1517303.1517321","mag":"2065897760"},"language":"en","primary_location":{"id":"doi:10.1145/1517303.1517321","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1517303.1517321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Bangalore Annual Compute Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080351148","display_name":"R. Karthi","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"R. Karthi","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham, India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101964871","display_name":"S. Arumugam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Arumugam","raw_affiliation_strings":["Nandha College of Engineering, Erode, India"],"affiliations":[{"raw_affiliation_string":"Nandha College of Engineering, Erode, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112487163","display_name":"K. Rameshkumar","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. RameshKumar","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham, India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080351148"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":0.38114844,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77020417,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.898262083530426},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6911668181419373},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.6796389818191528},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.6523082256317139},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.6462531089782715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5731015205383301},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.561386227607727},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42029333114624023},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.41299504041671753},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32500359416007996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30855414271354675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21860840916633606}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.898262083530426},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6911668181419373},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.6796389818191528},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.6523082256317139},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.6462531089782715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5731015205383301},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.561386227607727},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42029333114624023},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.41299504041671753},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32500359416007996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30855414271354675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21860840916633606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1517303.1517321","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1517303.1517321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Bangalore Annual Compute Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1970351663","https://openalex.org/W1988777754","https://openalex.org/W1992419399","https://openalex.org/W2026789128","https://openalex.org/W2035364453","https://openalex.org/W2051764341","https://openalex.org/W2125213524","https://openalex.org/W2153233077","https://openalex.org/W2543580944"],"related_works":["https://openalex.org/W2559422900","https://openalex.org/W3144143113","https://openalex.org/W4306940721","https://openalex.org/W3022637481","https://openalex.org/W2892323093","https://openalex.org/W2160785859","https://openalex.org/W3088133960","https://openalex.org/W4301002638","https://openalex.org/W2025839902","https://openalex.org/W3120229345"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,25],"novel":[4],"Discrete":[5],"Particle":[6,86],"Swarm":[7,87],"Clustering":[8],"algorithm":[9,44,76,90,104],"(DPSC)":[10],"for":[11,38],"data":[12,51,109],"clustering":[13,41,52,110],"has":[14,45,77],"been":[15,46,78],"proposed.":[16],"The":[17,70,95],"particle":[18],"positions":[19],"and":[20,28,65,91],"velocities":[21],"are":[22],"defined":[23],"in":[24,105],"discrete":[26],"form":[27],"an":[29],"efficient":[30],"approach":[31],"is":[32],"developed":[33],"to":[34,48],"move":[35],"the":[36,50,74,81,99,102,107],"particles":[37],"constructing":[39],"new":[40],"solutions.":[42],"DPSC":[43],"applied":[47],"solve":[49],"problems":[53],"by":[54,73],"considering":[55],"two":[56],"performance":[57,96],"metrics,":[58],"such":[59],"as":[60],"TRace":[61],"Within":[62],"criteria":[63],"(TRW)":[64],"Variance":[66],"Ratio":[67],"Criteria":[68],"(VRC).":[69],"result":[71],"obtained":[72],"proposed":[75,103],"compared":[79],"with":[80],"published":[82],"results":[83],"of":[84,101],"Combinatorial":[85],"Optimization":[88],"(CPSO)":[89],"Genetic":[92],"Algorithm":[93],"(GA).":[94],"analysis":[97],"demonstrates":[98],"effectiveness":[100],"solving":[106],"partitional":[108],"problems.":[111]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}